Work with business data users to define the use of data within risk systems.
Recommend remediation of control gaps and implements effective risk controls of our data processes and systems.
Participate in and lead user acceptance testing of data control processes.
Understand existing risk systems, data flows, and infrastructure to identify gaps between business usage of data and current implementations.
Recommend alternate data sources and processes to improve the control environment.
Lead cross functional strategic efforts to remediate data quality issues.
Proactively monitor and remediate incoming data used in risk measurement and reporting.
Ensure the completeness, validity, and accuracy of data on a daily basis.
Work with other groups as needed, including Middle Office, Sales and Trading, Technology, Compliance, Operational Risk, and Enterprise Capital Management to ensure effective controls over data for GMRM.
Requirements
Bachelor’s degree in computer science / engineering, Data Science or Analytics and 6+ years of experience in data platform/solutions and data management architecture; or if Master’s degree, 5+ years’ experience.
Deep understanding of BCBS 239 principles and their practical implementation in a large organization.
Strong experience working with risk reporting systems, data warehouses, reporting tools, and governance frameworks.
Familiarity with data quality frameworks, metadata management, data lineage tools, and control monitoring.
Proven track record of defining and delivering product roadmaps for complex data management or reporting platforms.
Strong stakeholder management and cross-functional leadership skills.
Proficiency in Agile delivery methodologies (e.g. Scrim, SAFe).
Excellent communication skills (written, verbal and presentation) with the ability to translate regulatory language into actionable technical requirements.
Strong experience driving the design and development of data solutions, data management & governance products as well as data and reporting platforms.
Expertise in architecting complex design patterns, microservices, API design, data warehouse and data lakes and data pipelines.
Experience with relational and NoSQL data stores and big data environments.
Hands-on expertise with data technologies and computing frameworks including but not limited to, Python, Spark, Airflow, Javascript and SQL.
Strong experience with data management platform such as Collibra (preferred) or understanding of open-source frameworks such as Apache Atlas, Amundsen, Datahub, Marquez etc.
Benefits
Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.